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What this video covers
In a conversation with a16z partner David George, Scale AI founder Alexandr Wang frames data—specifically human-labeled, task-designed data—as the central bottleneck for building capable AI systems, alongside models and compute. He argues that abundant, high-quality proprietary data and human judgment are essential to enabling organizations to create bespoke generative AI applications.
Wang also discusses Scale’s work across enterprise, automotive, and public-sector use cases, and reflects on company growth and leadership lessons for founders, including common hiring mistakes and how to scale teams and operations as products evolve.
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